Data
#install.packages('catchment')
#library(catchment)
library(sf)
## Warning: package 'sf' was built under R version 4.0.5
## Linking to GEOS 3.9.1, GDAL 3.4.0, PROJ 8.1.1; sf_use_s2() is TRUE
library(leaflet)
library(dplyr)
#library(catchment)
rm(list=ls())
library(tidycensus)
library(tidyverse)
census_api_key("eba406410c653b81d6a795ac4e989221f7bdf302")
## To install your API key for use in future sessions, run this function with `install = TRUE`.
pop_county <- get_acs(geography = "tract",
year = 2020,
variables = c(population = "B01001_001",
mean_income = 'B19013_001'),
state = c("VA"),
county = c("Fairfax county"),
survey = "acs5",
output = "wide",
geometry = TRUE)
## Getting data from the 2016-2020 5-year ACS
## Downloading feature geometry from the Census website. To cache shapefiles for use in future sessions, set `options(tigris_use_cache = TRUE)`.
#View(pop_county)
#tract shapes
tract_shapes <- st_transform( tigris::tracts(state = "VA", county = "Fairfax county", class = "sf", year=2020), 4326)
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library(dplyr)
pal <- colorBin("RdYlBu", pop_county$mean_incomeE, bins = 10)
#create map
map <- leaflet(tract_shapes, options = leafletOptions(attributionControl = FALSE)) %>%
addTiles() %>%
addScaleBar("bottomleft") %>%
addPolylines(data = tract_shapes, color = "black", opacity = 1, weight = 1) %>%
addLayersControl(
position = "topleft", overlayGroups = c("Population", "Income")
) %>%
addPolygons(
fillColor = colorNumeric("RdYlBu", pop_county$populationE)(pop_county$populationE),
fillOpacity = 1, stroke = FALSE, group = "Population", label = pop_county$populationE
) %>%
hideGroup("Population") %>%
addControl("Income per census tract, Fairfax County, VA", "topright") %>%
addLegend("bottomright", pal, pop_county$mean_incomeE, opacity = .7) %>%
addPolygons(
fillColor = pal(pop_county$mean_incomeE), fillOpacity = .7, weight = 1, color = "#000",
highlightOptions = highlightOptions(color = "#fff"), group = "Income",
label = paste0(
"GEOID: ", pop_county$GEOID, ", Population: ", pop_county$populationE,
", Median Income: ", round(pop_county$mean_incomeE, 4)
)
)
map
leaflet() %>%
addTiles(group = "OpenStreetMap") %>%
addProviderTiles("Stamen.Toner", group = "Toner by Stamen") %>%
addMarkers(runif(20, -75, -74), runif(20, 41, 42), group = "Markers") %>%
addLayersControl(
baseGroups = c("OpenStreetMap", "Toner by Stamen"),
overlayGroups = c("Markers")
)